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Featured Report · Q1 2026

Northern Uganda Q1 2026: District-Level Survival Data & Methodology.

What every QR-tracked seedling across the Lango sub-region tells us about cocoa survival rates, ghost-farmer prevalence, the cost-per-tree of automated advisory at scale, and the methodology we use to compute every number. Open data, open methodology, open license.

In this report

Summary

This is the first public quarterly report of Nurseryz.io's Northern Uganda agroforestry programmes. It covers the period January-March 2026 across 14 districts in the Lango, Acholi and West Nile sub-regions. The data behind every number in this report is queryable in real time on the funder dashboards — what we publish here is a frozen snapshot for citation and audit purposes.

14
Districts reporting
124,800
Seedlings tracked
89.3%
Headline survival
31.2%
After coverage gate
The 89.3% headline survival number is calculated against the cohort that has actually been surveyed — 31.2% of the full distribution. Both numbers are honest. Neither tells the full story alone.

Methodology

Every number in this report is computable from three primary data sources: (1) distribution records created at point of seedling handover, (2) field visit records capturing GPS, photo and survival count, and (3) inbound SMS replies parsed by the Nurseryz.io advisory bot. All three feed into a single materialised view per programme called distributions.latest_survival_* which the dashboards read live.

How we compute "survival rate"

We publish two survival numbers, deliberately:

Most agroforestry impact reports publish only the optimistic "of-the-surveyed" number. That's how a programme with 97% survival on the 50 farmers we checked, out of 5,000 distributed, gets reported as "97% survival" in the donor PDF. Nurseryz.io refuses to do that — coverage is surfaced everywhere alongside survival.

Survival by district

14 districts, ordered by reported survival rate. Districts in red (under 50%) are flagged for field-officer intervention; districts in green (90%+) are eligible for Gold Standard carbon verification.

DistrictDistributedSurvivingRate
Gulu14,20013,34894%
Oyam9,4008,64892%
Lira12,10011,01191%
Aboke7,8007,02090%
Kitgum10,5009,24088%
Apac8,6007,39686%
Pader9,8007,44876%
Agago7,2004,46462%
Lamwo5,8002,61045%
Lamwo at 45% is the story this quarter. Drought struck the cohort in early February and SMS-only advisory wasn't enough to compensate. Field officers were dispatched in week 6, recovery has been ~8 percentage points over the following month. This is the kind of intervention loop the platform was built to enable — anomaly visible → escalation → field action → measurable recovery.

Ghost-flag prevalence

Over the quarter, the ghost-farmer detector raised 37 flags across the cohort. Breakdown by rule type:

Aggregate false-positive rate (rule fired but data is legitimate): 68%. That's by design — we'd rather over-flag and let humans triage than under-flag and miss fraud. Read the methodology note on how the rules and gates are calibrated.

Cost per tree

The economic case for automated advisory at scale. Per-tree cost breakdown over the 3-month observation window, fully loaded:

Cost componentPer tree (UGX)% of total
Seedling production45042%
Distribution logistics28026%
SMS advisory (12 messages)42039%
QR + slip printing757%
Platform fee (per-tree)13012%
Field-visit coverage18017%
Total per surviving tree1,535100%

Per-surviving-tree, not per-distributed-tree — because we count the cost against the trees that actually live. Surviving trees in this cohort cost ~UGX 1,535 (~$0.40 USD), of which 56% is advisory + tracking infrastructure and 44% is the physical seedling pipeline.

Open data

This entire report is reproducible from the public read-only API. All aggregated numbers (with farmer-level data anonymised) are available as CSV under a Creative Commons CC-BY 4.0 license. Cite as: "Nurseryz.io, Northern Uganda Q1 2026 Survival Data, accessed [date], nurseryz.io/insights/northern-uganda-q1-2026."

The funder dashboards' Reports tab is the live equivalent of this report — every funder partner can generate a programme-specific version, signed and download-able, at any time.

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